Robotic path-finding in inverse treatment planning for stereotactic radiosurgery with continuous dose delivery

Vandewouw, Marlee M.; Aleman, Dionne M.; Jaffray, David A.

doi:10.1118/1.4955177

Cited by 5 publications

(5 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As we will describe below, a major difference between the inverse planner we propose and previous approaches based on sector‐duration optimization is that it uses linear programming . Such optimization problems are well behaved and well studied …”

Section: Methodsmentioning

confidence: 99%

“…Researchers have proposed optimization approaches that use absolute doses and shots that are allowed to move . This typically results in a so‐called mixed‐integer problem, which remains nonconvex.…”

Section: Introductionmentioning

confidence: 99%

“…The irradiation times are converted into deliverable shots after a solution has been found. Despite its promises, methods using sector‐duration optimization has, so far, lacked an efficient way of controlling BOTs and have been too computationally costly for widespread clinical use . This is about to change.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A linear programming approach to inverse planning in Gamma Knife radiosurgery

et al. 2019

View full text Add to dashboard Cite

PurposeLeksell Gamma Knife® is a stereotactic radiosurgery system that allows fine‐grained control of the delivered dose distribution. We describe a new inverse planning approach that both resolves shortcomings of earlier approaches and unlocks new capabilities.MethodsWe fix the isocenter positions and perform sector‐duration optimization using linear programming, and study the effect of beam‐on time penalization on the trade‐off between beam‐on time and plan quality. We also describe two techniques that reduce the problem size and thus further reduce the solution time: dualization and representative subsampling.ResultsThe beam‐on time penalization reduces the beam‐on time by a factor 2–3 compared with the naïve alternative. Dualization and representative subsampling each leads to optimization time‐savings by a factor 5–20. Overall, we find in a comparison with 75 clinical plans that we can always find plans with similar coverage and better selectivity and beam‐on time. In 44 of these, we can even find a plan that also has better gradient index. On a standard GammaPlan workstation, the optimization times ranged from 2.3 to 26 s with a median time of 5.7 s.ConclusionWe present a combination of techniques that enables sector‐duration optimization in a clinically feasible time frame.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A linear programming approach to inverse planning in Gamma Knife radiosurgery

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Subsequent studies built on this CP-SDO method by improving path creation, with path relaxation improving treatment time and dose conformity (albeit at the cost of upwards of 10 times the computational time), 3 and robotic mapping paths reducing treatment time while improving or maintaining dose conformity. 4 While promising, these previous studies are purely computational, and eventual clinical implementation requires validation. Stationary treatment (also known as step-and-shoot) is the current standard treatment method and has, thus, already been the subject numerous validation studies.…”

Section: Introductionmentioning

confidence: 99%

“…Subsequent studies built on this CP‐SDO method by improving path creation, with path relaxation improving treatment time and dose conformity (albeit at the cost of upwards of 10 times the computational time), 3 and robotic mapping paths reducing treatment time while improving or maintaining dose conformity 4 …”

Section: Introductionmentioning

confidence: 99%

Physical dose validation of dynamic treatment for Gamma Knife radiosurgery

Tham,

Aleman,

Heaton

et al. 2024

Medical Physics

Self Cite

View full text Add to dashboard Cite

BackgroundDynamic treatment in Gamma Knife (GK) radiosurgery systems delivers radiation continuously with couch movement, as opposed to stationary step‐and‐shoot treatment where radiation is paused when moving between isocenters. Previous studies have shown the potential for dynamic GK treatment to give faster treatment times and improved dose conformity and homogeneity. However, these studies focused only on computational simulations and lack physical validation.PurposeThis study aims conduct dynamic treatment dosimetric validation with physical experimental measurements. The experiments aim to (1) address assumptions made with computational studies, such as the validity of treating a continuous path as discretised points, (2) investigate uncertainties in translating computed plans to actual treatment, and (3) determine ideal treatment planning parameters, such as interval distance for the path discretization, collimator change limitations, and minimum isocenter treatment times.MethodsThis study uses a GK ICON treatment delivery machine, and a motion phantom custom‐made to attach to the machine's mask adapter and move in 1D superior‐inferior motion. Phantom positioning is first verified through comparisons against couch motion and computed doses. For dynamic treatment experiments, the phantom is moved through a program that first reads the desired treatment plan isocenters' position, time, and collimator sizes, then carries out the motion continuously while the treatment machine delivers radiation. Measurements are done with increasing levels of complexity: varying speed, varying collimator sizes, varying both speed and collimator sizes, then extends the same measurements to simulated 2D motion by combining phantom and couch motion. Dose comparisons between phantom motion radiation measurements and either couch motion measurements or dose calculations are analyzed with 2 mm/2% and 1 mm/2% gamma indices, using both local and global gamma index calculations.ResultsPhantom positional experiments show a high accuracy, with global gamma indices for all dose comparisons 99%. Discretization level to approximate continuous path as discrete points show the good dose matches with dose calculations when using 1 and 2‐mm gaps. Complex 1D motion, including varying speed, collimator sizes, or both, as well as 2D motion with the same complexities, all show good dose matches with dose calculations: the scores are 92.0% for the strictest 1 mm/2% local gamma index calculation, 99.8% for 2 mm/2% local gamma index, and 97.0% for all global gamma indices. Five simulated 2D treatments with optimized plans scored highly as well, with all gamma index scores 95.3% when compared to stationary treatment, and scores 97.9% when compared to plan calculated dose.ConclusionsDynamic treatment computational studies are validated, with dynamic treatment shown to be physically feasible and deliverable with high accuracy. A 2‐mm discretization level in treatment planning is proposed as the best option for shorter dose calculation times while maintaining dose accuracy. Our experimental method enables dynamic treatment measurements using the existing clinical workflow, which may be replicated in other centers, and future studies may include 2D or 3D motion experiments, or planning studies to further quantify potential indication‐specific benefits.

show abstract

General Techniques for Radiosurgery

Ruschin

Sahgal

et al. 2020

Radiotherapy in Managing Brain Metastases

View full text Add to dashboard Cite

Robotic path-finding in inverse treatment planning for stereotactic radiosurgery with continuous dose delivery

Cited by 5 publications

References 57 publications

A linear programming approach to inverse planning in Gamma Knife radiosurgery

A linear programming approach to inverse planning in Gamma Knife radiosurgery

Physical dose validation of dynamic treatment for Gamma Knife radiosurgery

General Techniques for Radiosurgery

Contact Info

Product

Resources

About